{"id":"https://openalex.org/W3048665613","doi":"https://doi.org/10.1145/3386569.3392440","title":"Learned motion matching","display_name":"Learned motion matching","publication_year":2020,"publication_date":"2020-08-12","ids":{"openalex":"https://openalex.org/W3048665613","doi":"https://doi.org/10.1145/3386569.3392440","mag":"3048665613"},"language":"en","primary_location":{"id":"doi:10.1145/3386569.3392440","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386569.3392440","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009413789","display_name":"Daniel Holden","orcid":"https://orcid.org/0000-0001-7585-4463"},"institutions":[{"id":"https://openalex.org/I4210104072","display_name":"Ubisoft (Canada)","ror":"https://ror.org/01hmp5p66","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210104072"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Daniel Holden","raw_affiliation_strings":["Ubisoft La Forge, Ubisoft, Canada"],"affiliations":[{"raw_affiliation_string":"Ubisoft La Forge, Ubisoft, Canada","institution_ids":["https://openalex.org/I4210104072"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091137280","display_name":"Oussama Kanoun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104072","display_name":"Ubisoft (Canada)","ror":"https://ror.org/01hmp5p66","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210104072"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Oussama Kanoun","raw_affiliation_strings":["Ubisoft La Forge, Ubisoft, Canada"],"affiliations":[{"raw_affiliation_string":"Ubisoft La Forge, Ubisoft, Canada","institution_ids":["https://openalex.org/I4210104072"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014667125","display_name":"Maksym Perepichka","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maksym Perepichka","raw_affiliation_strings":["Concordia University, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017098780","display_name":"Tiberiu Popa","orcid":"https://orcid.org/0000-0003-2223-4476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tiberiu Popa","raw_affiliation_strings":["Concordia University, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009413789"],"corresponding_institution_ids":["https://openalex.org/I4210104072"],"apc_list":null,"apc_paid":null,"fwci":12.2105,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.99164818,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"39","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8015321493148804},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.7279723882675171},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6000329256057739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5765314698219299},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5481950044631958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5079439282417297},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5016465187072754},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4928429126739502},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.46736547350883484},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4629126191139221},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.44670236110687256},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.42592933773994446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3704211115837097},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1493079960346222},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.1401364803314209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015321493148804},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.7279723882675171},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6000329256057739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5765314698219299},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5481950044631958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5079439282417297},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5016465187072754},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4928429126739502},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.46736547350883484},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4629126191139221},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44670236110687256},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.42592933773994446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3704211115837097},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1493079960346222},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.1401364803314209},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3386569.3392440","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386569.3392440","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4661115965","display_name":null,"funder_award_id":"CRDPJ 505237-16","funder_id":"https://openalex.org/F4320321487","funder_display_name":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320321487","display_name":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1970797733","https://openalex.org/W1985059397","https://openalex.org/W2004167999","https://openalex.org/W2019953692","https://openalex.org/W2027247754","https://openalex.org/W2036097488","https://openalex.org/W2045459928","https://openalex.org/W2067595006","https://openalex.org/W2104266030","https://openalex.org/W2111237478","https://openalex.org/W2115096495","https://openalex.org/W2115136127","https://openalex.org/W2124509324","https://openalex.org/W2124609748","https://openalex.org/W2131389448","https://openalex.org/W2144231991","https://openalex.org/W2151857564","https://openalex.org/W2243558602","https://openalex.org/W2249800031","https://openalex.org/W2295047318","https://openalex.org/W2296629652","https://openalex.org/W2406032102","https://openalex.org/W2469134594","https://openalex.org/W2611706523","https://openalex.org/W2742105895","https://openalex.org/W2792809492","https://openalex.org/W2801567109","https://openalex.org/W2885185410","https://openalex.org/W2902757548","https://openalex.org/W2944314833","https://openalex.org/W2957323419","https://openalex.org/W2963310566","https://openalex.org/W2968917279","https://openalex.org/W2984579799","https://openalex.org/W2986708244","https://openalex.org/W2987886924","https://openalex.org/W2989627480","https://openalex.org/W4205999401","https://openalex.org/W4214813851","https://openalex.org/W4230154712","https://openalex.org/W4230822856","https://openalex.org/W4233266252"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360","https://openalex.org/W4317695495","https://openalex.org/W4387506531"],"abstract_inverted_index":{"In":[0,126],"this":[1,127],"paper":[2],"we":[3,129,191],"present":[4],"a":[5,57,109],"learned":[6],"alternative":[7],"to":[8,65,83,156,168],"the":[9,15,24,61,92,102,113,131,140,188,193,199,211],"Motion":[10,19,53,141,196],"Matching":[11,20,54,142],"algorithm":[12,143],"which":[13,78,117,206],"retains":[14],"positive":[16],"properties":[17,77],"of":[18,26,39,47,95,104,115,133,195],"but":[21],"additionally":[22],"achieves":[23],"scalability":[25],"neural-network-based":[27,31,86],"generative":[28,32,185],"models.":[29,186],"Although":[30],"models":[33],"for":[34],"character":[35],"animation":[36,48,116,170],"are":[37,207],"capable":[38],"learning":[40],"expressive,":[41],"compact":[42],"controllers":[43],"from":[44],"vast":[45],"amounts":[46],"data,":[49],"methods":[50,97],"such":[51,96],"as":[52,181,183],"still":[55],"remain":[56],"popular":[58],"choice":[59],"in":[60,108,160,176,210],"games":[62],"industry":[63],"due":[64],"their":[66],"flexibility,":[67],"predictability,":[68],"low":[69],"preprocessing":[70],"time,":[71,190],"and":[72,121,202],"visual":[73],"quality":[74],"-":[75],"all":[76],"can":[79,118,153],"sometimes":[80],"be":[81,119,154],"difficult":[82],"achieve":[84],"with":[85,101],"methods.":[87],"Yet,":[88],"unlike":[89],"neural":[90],"networks,":[91],"memory":[93],"usage":[94],"generally":[98],"scales":[99,180],"linearly":[100],"amount":[103],"data":[105,171],"used,":[106],"resulting":[107],"constant":[110],"trade-off":[111],"between":[112],"diversity":[114],"produced":[120],"real":[122],"world":[123],"production":[124],"budgets.":[125],"work":[128],"combine":[130],"benefits":[132],"both":[134],"approaches":[135],"and,":[136],"by":[137],"breaking":[138],"down":[139],"into":[144],"its":[145],"individual":[146],"steps,":[147],"show":[148],"how":[149],"learned,":[150],"scalable":[151],"alternatives":[152],"used":[155],"replace":[157],"each":[158],"operation":[159],"turn.":[161],"Our":[162],"final":[163],"model":[164],"has":[165],"no":[166],"need":[167],"store":[169],"or":[172],"additional":[173],"matching":[174],"meta-data":[175],"memory,":[177],"meaning":[178],"it":[179],"well":[182],"existing":[184],"At":[187],"same":[189],"preserve":[192],"behavior":[194],"Matching,":[197],"retaining":[198],"quality,":[200],"control,":[201],"quick":[203],"iteration":[204],"time":[205],"so":[208],"important":[209],"industry.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}